With the explosion of the Web, focused web crawlers are gaining attention. Focused web crawlers aim at finding web pages related to the pre-defined topic. CINDI Robot is a focused web crawler devoted to finding computer science and software engineering academic documents. We propose a multi-level inspection scheme to discover relevant web pages. Through this multi-level inspection scheme, the text feature of the content contributes to the classification; furthermore other web characteristics, such as URL pattern, anchor text and so on, assist the decision process. The experiment result demonstrates this multi-level inspection method outperforms other traditional methods.